节点文献

基于混合启发式的多设备类型跨单元调度方法

Hybrid heuristic approach for inter-cell scheduling with various machine types

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 孟宪文李冬妮李海宁张孝王妍

【Author】 Meng Xianwen;Li Dongni;Li Haining;Zhang Xiao;Wang Yan;Beijing Key Lab of Intelligent Information Technology,School of Computer Science, Beijing Institute of Technology;

【机构】 北京理工大学计算机学院智能信息技术北京市重点实验室

【摘要】 Inter-cell scheduling is analyzed where there are various machine types and exceptional jobs that need to visit machines in multiple job shop cells in a cellular manufacturing system(CMS).A hybrid heuristic approach combining hyper-heuristic and ant colony optimization is developed.Different structures are designed for different types of machines under the framework of ACO.The pheromone trails are updated integratedly after the whole solution is constructed to achieve cooperative optimization.Experimental results show that the hybrid heuristic approach has significant advantages over ACO and CPLEX with respect to the makespan and utilization rate of the batch processing machine,and our approach is especially suitable for large dimension problems.

【Abstract】 The issue of inter-cell scheduling is analyzed in the context of various machine types,with respect to the exceptional jobs that need to visit machines in multiple job shop cells in a cellular manufacturing system(CMS).A hybrid heuristic approach combining hyper-heuristic and ant colony optimization is developed.Different structures are designed for diffenrent types of machines under the framework of ACO.The pheromone trails are updated integratedly after the whole solution is constructed,therefore achieving cooperative optimization.Experimental results show the hybrid heuristic has significant advantages comparing with ACO and CPLEX with respect to makespan and utilization rate of the batch processing machine,and is especially suitable for large dimension problems.

【基金】 北京市自然科学基金资助项目(4122069)
  • 【文献出处】 系统工程学报 ,Journal of Systems Engineering , 编辑部邮箱 ,2013年05期
  • 【分类号】TP301.6
  • 【被引频次】5
  • 【下载频次】211
节点文献中: 

本文链接的文献网络图示:

本文的引文网络